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Analytics Engineer

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PhantomBuster

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IT - Software Development

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Job Description:

We’re hiring an Analytics Engineer to strengthen our data models, analytics, and experimentation capabilities, and to help teams across the company make better, faster decisions using data. The role focuses on analytics engineering and product analytics, with exposure to marketing and growth topics as part of a broader, cross-functional scope.

Job Responsibility:

  • Conduct descriptive and exploratory analyses to support product, growth, and business decisions
  • Build and maintain dashboards and reports to monitor KPIs, experiments, feature launches, and overall performance
  • Partner with Product and Growth teams to analyze user behavior, funnels, and retention
  • Design and maintain clean, well-documented data models in Snowflake and dbt
  • Improve metric definitions and ensure consistency across teams and dashboards
  • Contribute to the reliability and scalability of our analytics infrastructure
  • Support experimentation efforts (A/B testing) by helping define metrics, analyze results, and interpret outcomes
  • Help teams frame the right questions and turn data into clear recommendations
  • Communicate insights clearly to non-technical stakeholders
  • Contribute to a strong data-driven culture through documentation, presentations, and workshops
  • Act as a thought partner for teams making strategic or operational decisions

Requirements:

  • 3+ years of experience in analytics, analytics engineering, or a similar data role
  • Comfortable working at the intersection of data, marketing, and business
  • Curious about user behavior, growth levers, and how products scale
  • Strong SQL skills and solid experience with Python (or another data language such as R or Scala)
  • Hands-on experience with modern data stacks (e.g., Snowflake, dbt, Dataiku)
  • Experience with analytics and visualization tools (e.g., Tableau, Looker, Power BI)
  • Familiarity with web or product analytics tools (e.g., Amplitude, Google Analytics, Google Tag Manager)
  • Able to explain complex analyses clearly to non-technical audiences
  • Strong ownership mindset: you take responsibility for delivering results and following through, not just producing analyses
  • Comfortable prioritizing your own work and helping stakeholders clarify, scope, and sequence their data requests so the most impactful work gets done first
  • Autonomous, rigorous, and resourceful
  • Collaborative and comfortable working in a fast-growing environment

Nice to have:

  • Experience in a B2B SaaS or product-led growth company
  • Familiarity with marketing attribution models and growth performance analysis
  • Hands-on experience with web and product analytics tools such as Amplitude or Google Analytics
  • Experience designing, analyzing, or supporting experiments (A/B testing), including metric definition, result interpretation, and the use of experimentation platforms such as Amplitude Experiments (or similar tools)
  • Exposure to cloud environments (AWS, GCP, Azure)
What we offer:
  • Fully remote working environment
  • Freedom to make an impact at a small, self-funded, and profitable tech startup
  • €40/month for your Internet connection
  • Flexible working time
  • Home office budget up to €1500
  • 100% of an Alan Blue subscription
  • Lunch vouchers - €8 (50% The Phantom Company) / worked day
  • Partnership with MokaCare
  • €70 a month benefit for entertainment expenses
  • Book Allowance and Sharing Program

Additional Information:

Job Posted:
January 20, 2026

Work Type:
Remote work
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